title: Paper 3: EUROCAT data quality indicators for population-based registries of congenital anomalies.
abstract: The European Surveillance of Congenital Anomalies (EUROCAT) network of population-based congenital anomaly registries is an important source of epidemiologic information on congenital anomalies in Europe covering live births, fetal deaths from 20 weeks gestation, and terminations of pregnancy for fetal anomaly. EUROCAT's policy is to strive for high-quality data, while ensuring consistency and transparency across all member registries. A set of 30 data quality indicators (DQIs) was developed to assess five key elements of data quality: completeness of case ascertainment, accuracy of diagnosis, completeness of information on EUROCAT variables, timeliness of data transmission, and availability of population denominator information. This article describes each of the individual DQIs and presents the output for each registry as well as the EUROCAT (unweighted) average, for 29 full member registries for 2004-2008. This information is also available on the EUROCAT website for previous years. The EUROCAT DQIs allow registries to evaluate their performance in relation to other registries and allows appropriate interpretations to be made of the data collected. The DQIs provide direction for improving data collection and ascertainment, and they allow annual assessment for monitoring continuous improvement. The DQI are constantly reviewed and refined to best document registry procedures and processes regarding data collection, to ensure appropriateness of DQI, and to ensure transparency so that the data collected can make a substantial and useful contribution to epidemiologic research on congenital anomalies.
authors.affiliation: EUROCAT Central Registry, Centre for Maternal, Fetal and Infant Research, University of Ulster, Newtownabbey, Co Antrim, Northern Ireland, United Kingdom. ma.loane@ulster.ac.uk
authors.forename: Maria
authors.initials: M
authors.lastname: Loane
authors.forename: Helen
authors.initials: H
authors.lastname: Dolk
authors.forename: Ester
authors.initials: E
authors.lastname: Garne
authors.forename: Ruth
authors.initials: R
authors.lastname: Greenlees
mesh_terms: D000028:Abortion, Induced / Q000706:statistics & numerical data; D000013:Congenital Abnormalities / Q000453:epidemiology*; D005060:Europe / Q000453:epidemiology; D005260:Female; D005313:Fetal Death / Q000453:epidemiology; D006801:Humans; D011159:Population Surveillance; D011247:Pregnancy; D011296:Prenatal Diagnosis; D015995:Prevalence; D012042:Registries / Q000706:statistics & numerical data*; D012107:Research Design; D054928:Validation Studies as Topic